Pandas Profiling Report

Dataset statistics

Number of variables	23
Number of observations	3677
Missing cells	6708
Missing cells (%)	7.9%
Duplicate rows	0
Duplicate rows (%)	0.0%
Total size in memory	2.2 MiB
Average record size in memory	631.7 B

Variable types

Categorical	10
Text	3
Numeric	10

Alerts

`area` is highly overall correlated with `bathroom` and 5 other fields	High correlation
`balcony` is highly overall correlated with `bathroom` and 1 other fields	High correlation
`bathroom` is highly overall correlated with `area` and 6 other fields	High correlation
`bedRoom` is highly overall correlated with `area` and 5 other fields	High correlation
`built_up_area` is highly overall correlated with `area` and 4 other fields	High correlation
`carpet_area` is highly overall correlated with `area` and 5 other fields	High correlation
`facing` is highly overall correlated with `built_up_area`	High correlation
`price` is highly overall correlated with `area` and 7 other fields	High correlation
`price_per_sqft` is highly overall correlated with `price`	High correlation
`property_type` is highly overall correlated with `bedRoom` and 1 other fields	High correlation
`servant room` is highly overall correlated with `bathroom` and 1 other fields	High correlation
`super_built_up_area` is highly overall correlated with `area` and 7 other fields	High correlation
`store room` is highly imbalanced (55.7%)	Imbalance
`facing` has 1045 (28.4%) missing values	Missing
`super_built_up_area` has 1802 (49.0%) missing values	Missing
`built_up_area` has 1985 (54.0%) missing values	Missing
`carpet_area` has 1808 (49.2%) missing values	Missing
`area` is highly skewed (γ1 = 29.73502972)	Skewed
`built_up_area` is highly skewed (γ1 = 40.73050927)	Skewed
`carpet_area` is highly skewed (γ1 = 24.31384193)	Skewed
`floorNum` has 129 (3.5%) zeros	Zeros
`luxury_score` has 465 (12.6%) zeros	Zeros

Reproduction

Analysis started	2024-01-30 08:48:54.694944
Analysis finished	2024-01-30 08:49:07.571154
Duration	12.88 seconds
Software version	ydata-profiling vv4.6.4
Download configuration	config.json

property_type
Categorical

HIGH CORRELATION

Distinct	2
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	248.6 KiB

flat	2816
house	861

Length

Max length	5
Median length	4
Mean length	4.2341583
Min length	4

Characters and Unicode

Total characters	15569
Distinct characters	9
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	flat
2nd row	flat
3rd row	flat
4th row	flat
5th row	flat

Common Values

Value	Count	Frequency (%)
flat	2816	76.6%
house	861	23.4%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
flat	2816	76.6%
house	861	23.4%

Most occurring characters

Value	Count	Frequency (%)
f	2816	18.1%
l	2816	18.1%
a	2816	18.1%
t	2816	18.1%
h	861	5.5%
o	861	5.5%
u	861	5.5%
s	861	5.5%
e	861	5.5%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	15569	100.0%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
f	2816	18.1%
l	2816	18.1%
a	2816	18.1%
t	2816	18.1%
h	861	5.5%
o	861	5.5%
u	861	5.5%
s	861	5.5%
e	861	5.5%

Most occurring scripts

Value	Count	Frequency (%)
Latin	15569	100.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
f	2816	18.1%
l	2816	18.1%
a	2816	18.1%
t	2816	18.1%
h	861	5.5%
o	861	5.5%
u	861	5.5%
s	861	5.5%
e	861	5.5%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	15569	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
f	2816	18.1%
l	2816	18.1%
a	2816	18.1%
t	2816	18.1%
h	861	5.5%
o	861	5.5%
u	861	5.5%
s	861	5.5%
e	861	5.5%

society
Text

Distinct	674
Distinct (%)	18.3%
Missing	1
Missing (%)	< 0.1%
Memory size	293.9 KiB

Length

Max length	49
Median length	39
Mean length	16.863711
Min length	1

Characters and Unicode

Total characters	61991
Distinct characters	41
Distinct categories	5 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	306 ?
Unique (%)	8.3%

Sample

1st row	maa bhagwati residency
2nd row	apna enclave
3rd row	tulsiani easy in homes
4th row	smart world orchard
5th row	parkwood westend

Value	Count	Frequency (%)
independent	493	5.1%
the	350	3.6%
dlf	220	2.3%
park	209	2.2%
city	167	1.7%
emaar	155	1.6%
global	152	1.6%
m3m	152	1.6%
signature	149	1.5%
heights	134	1.4%
Other values (782)	7491	77.5%

Most occurring characters

Value	Count	Frequency (%)
e	6711	10.8%
	5998	9.7%
a	5854	9.4%
r	4168	6.7%
n	4166	6.7%
i	3832	6.2%
t	3720	6.0%
s	3469	5.6%
l	2938	4.7%
o	2753	4.4%
Other values (31)	18382	29.7%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	55451	89.5%
Space Separator	5998	9.7%
Decimal Number	524	0.8%
Other Punctuation	10	< 0.1%
Dash Punctuation	8	< 0.1%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	6711	12.1%
a	5854	10.6%
r	4168	7.5%
n	4166	7.5%
i	3832	6.9%
t	3720	6.7%
s	3469	6.3%
l	2938	5.3%
o	2753	5.0%
d	2491	4.5%
Other values (16)	15349	27.7%

Decimal Number

Value	Count	Frequency (%)
3	207	39.5%
2	81	15.5%
1	75	14.3%
6	55	10.5%
8	32	6.1%
4	19	3.6%
5	17	3.2%
0	13	2.5%
9	13	2.5%
7	12	2.3%

Other Punctuation

Value	Count	Frequency (%)
,	7	70.0%
/	2	20.0%
.	1	10.0%

Space Separator

Value	Count	Frequency (%)
	5998	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	8	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	55451	89.5%
Common	6540	10.5%

Most frequent character per script

Latin

Value	Count	Frequency (%)
e	6711	12.1%
a	5854	10.6%
r	4168	7.5%
n	4166	7.5%
i	3832	6.9%
t	3720	6.7%
s	3469	6.3%
l	2938	5.3%
o	2753	5.0%
d	2491	4.5%
Other values (16)	15349	27.7%

Common

Value	Count	Frequency (%)
	5998	91.7%
3	207	3.2%
2	81	1.2%
1	75	1.1%
6	55	0.8%
8	32	0.5%
4	19	0.3%
5	17	0.3%
0	13	0.2%
9	13	0.2%
Other values (5)	30	0.5%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	61991	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
e	6711	10.8%
	5998	9.7%
a	5854	9.4%
r	4168	6.7%
n	4166	6.7%
i	3832	6.2%
t	3720	6.0%
s	3469	5.6%
l	2938	4.7%
o	2753	4.4%
Other values (31)	18382	29.7%

sector
Text

Distinct	107
Distinct (%)	2.9%
Missing	0
Missing (%)	0.0%
Memory size	266.5 KiB

Length

Max length	16
Median length	9
Mean length	9.2058744
Min length	8

Characters and Unicode

Total characters	33850
Distinct characters	22
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	sector 7
2nd row	sector 3
3rd row	sector 47
4th row	sector 61
5th row	sector 92

Value	Count	Frequency (%)
sector	3677	49.8%
47	184	2.5%
85	108	1.5%
102	107	1.4%
2	103	1.4%
92	100	1.4%
69	93	1.3%
90	89	1.2%
81	87	1.2%
65	87	1.2%
Other values (98)	2747	37.2%

Most occurring characters

Value	Count	Frequency (%)
c	3728	11.0%
	3705	10.9%
o	3689	10.9%
r	3689	10.9%
s	3685	10.9%
e	3685	10.9%
t	3677	10.9%
1	1084	3.2%
7	849	2.5%
0	812	2.4%
Other values (12)	5247	15.5%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	22462	66.4%
Decimal Number	7683	22.7%
Space Separator	3705	10.9%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
c	3728	16.6%
o	3689	16.4%
r	3689	16.4%
s	3685	16.4%
e	3685	16.4%
t	3677	16.4%
a	212	0.9%
d	75	0.3%
p	8	< 0.1%
h	8	< 0.1%

Decimal Number

Value	Count	Frequency (%)
1	1084	14.1%
7	849	11.1%
0	812	10.6%
8	806	10.5%
9	763	9.9%
6	742	9.7%
2	713	9.3%
3	652	8.5%
4	651	8.5%
5	611	8.0%

Space Separator

Value	Count	Frequency (%)
	3705	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	22462	66.4%
Common	11388	33.6%

Most frequent character per script

Latin

Value	Count	Frequency (%)
c	3728	16.6%
o	3689	16.4%
r	3689	16.4%
s	3685	16.4%
e	3685	16.4%
t	3677	16.4%
a	212	0.9%
d	75	0.3%
p	8	< 0.1%
h	8	< 0.1%

Common

Value	Count	Frequency (%)
	3705	32.5%
1	1084	9.5%
7	849	7.5%
0	812	7.1%
8	806	7.1%
9	763	6.7%
6	742	6.5%
2	713	6.3%
3	652	5.7%
4	651	5.7%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	33850	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
c	3728	11.0%
	3705	10.9%
o	3689	10.9%
r	3689	10.9%
s	3685	10.9%
e	3685	10.9%
t	3677	10.9%
1	1084	3.2%
7	849	2.5%
0	812	2.4%
Other values (12)	5247	15.5%

price
Real number (ℝ)

HIGH CORRELATION

Distinct	474
Distinct (%)	12.9%
Missing	16
Missing (%)	0.4%
Infinite	0
Infinite (%)	0.0%
Mean	2.5324911

Minimum	0.07
Maximum	31.5
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	57.5 KiB

Quantile statistics

Minimum	0.07
5-th percentile	0.37
Q1	0.95
median	1.52
Q3	2.75
95-th percentile	8.5
Maximum	31.5
Range	31.43
Interquartile range (IQR)	1.8

Descriptive statistics

Standard deviation	2.9803552
Coefficient of variation (CV)	1.1768472
Kurtosis	14.940149
Mean	2.5324911
Median Absolute Deviation (MAD)	0.72
Skewness	3.2802013
Sum	9271.45
Variance	8.8825169
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
1.25	80	2.2%
1.2	64	1.7%
0.9	63	1.7%
1.5	63	1.7%
1.1	62	1.7%
1.4	60	1.6%
1.3	58	1.6%
2	52	1.4%
0.95	52	1.4%
1.6	48	1.3%
Other values (464)	3059	83.2%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0.07	1	< 0.1%
0.16	1	< 0.1%
0.17	1	< 0.1%
0.19	1	< 0.1%
0.2	8	0.2%
0.21	6	0.2%
0.22	8	0.2%
0.23	1	< 0.1%
0.24	6	0.2%
0.25	11	0.3%

Value	Count	Frequency (%)
31.5	1	< 0.1%
27.5	1	< 0.1%
26	2	0.1%
25	1	< 0.1%
24	1	< 0.1%
23	1	< 0.1%
22	1	< 0.1%
20	3	0.1%
19.5	2	0.1%
19	3	0.1%

price_per_sqft
Real number (ℝ)

HIGH CORRELATION

Distinct	2652
Distinct (%)	72.4%
Missing	16
Missing (%)	0.4%
Infinite	0
Infinite (%)	0.0%
Mean	13889.242

Minimum	4
Maximum	600000
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	57.5 KiB

Quantile statistics

Minimum	4
5-th percentile	4715
Q1	6815
median	9016
Q3	13878
95-th percentile	33333
Maximum	600000
Range	599996
Interquartile range (IQR)	7063

Descriptive statistics

Standard deviation	23207.558
Coefficient of variation (CV)	1.6709017
Kurtosis	186.96493
Mean	13889.242
Median Absolute Deviation (MAD)	2791
Skewness	11.438195
Sum	50848515
Variance	5.3859076 × 10⁸
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
10000	27	0.7%
8000	19	0.5%
5000	17	0.5%
12500	14	0.4%
11111	13	0.4%
22222	13	0.4%
6666	13	0.4%
7500	12	0.3%
8333	12	0.3%
33333	11	0.3%
Other values (2642)	3510	95.5%
(Missing)	16	0.4%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
4	1	< 0.1%
5	1	< 0.1%
7	1	< 0.1%
9	1	< 0.1%
53	1	< 0.1%
57	1	< 0.1%
58	2	0.1%
60	1	< 0.1%
61	1	< 0.1%
79	1	< 0.1%

Value	Count	Frequency (%)
600000	1	< 0.1%
400000	1	< 0.1%
315789	1	< 0.1%
308333	1	< 0.1%
290948	1	< 0.1%
283333	1	< 0.1%
266666	1	< 0.1%
261194	1	< 0.1%
245398	1	< 0.1%
241666	1	< 0.1%

area
Real number (ℝ)

HIGH CORRELATION SKEWED

Distinct	1312
Distinct (%)	35.8%
Missing	16
Missing (%)	0.4%
Infinite	0
Infinite (%)	0.0%
Mean	2887.4504

Minimum	50
Maximum	875000
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	57.5 KiB

Quantile statistics

Minimum	50
5-th percentile	519
Q1	1230
median	1733
Q3	2300
95-th percentile	4246
Maximum	875000
Range	874950
Interquartile range (IQR)	1070

Descriptive statistics

Standard deviation	23164.366
Coefficient of variation (CV)	8.0224291
Kurtosis	942.28724
Mean	2887.4504
Median Absolute Deviation (MAD)	533
Skewness	29.73503
Sum	10570956
Variance	5.3658787 × 10⁸
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
1650	54	1.5%
1350	48	1.3%
1800	47	1.3%
3240	43	1.2%
1950	43	1.2%
900	39	1.1%
2700	39	1.1%
2000	33	0.9%
2250	25	0.7%
2400	23	0.6%
Other values (1302)	3267	88.8%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
50	4	0.1%
55	1	< 0.1%
56	1	< 0.1%
57	1	< 0.1%
60	2	0.1%
61	1	< 0.1%
67	2	0.1%
70	1	< 0.1%
72	1	< 0.1%
76	1	< 0.1%

Value	Count	Frequency (%)
875000	1	< 0.1%
642857	1	< 0.1%
620000	1	< 0.1%
566667	1	< 0.1%
215517	1	< 0.1%
98978	1	< 0.1%
82781	1	< 0.1%
65517	2	0.1%
65261	1	< 0.1%
58228	1	< 0.1%

areaWithType
Text

Distinct	2354
Distinct (%)	64.0%
Missing	0
Missing (%)	0.0%
Memory size	428.1 KiB

Length

Max length	124
Median length	119
Mean length	54.22192
Min length	12

Characters and Unicode

Total characters	199374
Distinct characters	35
Distinct categories	7 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	1847 ?
Unique (%)	50.2%

Sample

1st row	Carpet area: 900 (83.61 sq.m.)
2nd row	Carpet area: 650 (60.39 sq.m.)
3rd row	Carpet area: 595 (55.28 sq.m.)
4th row	Carpet area: 1200 (111.48 sq.m.)
5th row	Super Built up area 1345(124.95 sq.m.)

Value	Count	Frequency (%)
area	5572	18.5%
sq.m	3655	12.1%
up	3020	10.0%
built	2316	7.7%
super	1875	6.2%
sq.ft	1750	5.8%
sq.m.)carpet	1184	3.9%
sq.m.)built	702	2.3%
plot	683	2.3%
carpet	681	2.3%
Other values (2844)	8696	28.9%

Most occurring characters

Value	Count	Frequency (%)
	26457	13.3%
.	20383	10.2%
a	13149	6.6%
r	9452	4.7%
e	9316	4.7%
1	9201	4.6%
s	7565	3.8%
q	7429	3.7%
t	7322	3.7%
u	6770	3.4%
Other values (25)	82330	41.3%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	82738	41.5%
Decimal Number	47122	23.6%
Space Separator	26457	13.3%
Other Punctuation	23397	11.7%
Uppercase Letter	8592	4.3%
Close Punctuation	5534	2.8%
Open Punctuation	5534	2.8%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
a	13149	15.9%
r	9452	11.4%
e	9316	11.3%
s	7565	9.1%
q	7429	9.0%
t	7322	8.8%
u	6770	8.2%
p	6764	8.2%
m	5543	6.7%
l	3703	4.5%
Other values (5)	5725	6.9%

Decimal Number

Value	Count	Frequency (%)
1	9201	19.5%
0	6627	14.1%
2	5687	12.1%
5	4710	10.0%
3	3959	8.4%
4	3711	7.9%
6	3673	7.8%
7	3249	6.9%
8	3160	6.7%
9	3145	6.7%

Uppercase Letter

Value	Count	Frequency (%)
B	3020	35.1%
S	1875	21.8%
C	1869	21.8%
U	1145	13.3%
P	683	7.9%

Other Punctuation

Value	Count	Frequency (%)
.	20383	87.1%
:	3014	12.9%

Space Separator

Value	Count	Frequency (%)
	26457	100.0%

Close Punctuation

Value	Count	Frequency (%)
)	5534	100.0%

Open Punctuation

Value	Count	Frequency (%)
(	5534	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	108044	54.2%
Latin	91330	45.8%

Most frequent character per script

Latin

Value	Count	Frequency (%)
a	13149	14.4%
r	9452	10.3%
e	9316	10.2%
s	7565	8.3%
q	7429	8.1%
t	7322	8.0%
u	6770	7.4%
p	6764	7.4%
m	5543	6.1%
l	3703	4.1%
Other values (10)	14317	15.7%

Common

Value	Count	Frequency (%)
	26457	24.5%
.	20383	18.9%
1	9201	8.5%
0	6627	6.1%
2	5687	5.3%
)	5534	5.1%
(	5534	5.1%
5	4710	4.4%
3	3959	3.7%
4	3711	3.4%
Other values (5)	16241	15.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	199374	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
	26457	13.3%
.	20383	10.2%
a	13149	6.6%
r	9452	4.7%
e	9316	4.7%
1	9201	4.6%
s	7565	3.8%
q	7429	3.7%
t	7322	3.7%
u	6770	3.4%
Other values (25)	82330	41.3%

bedRoom
Real number (ℝ)

HIGH CORRELATION

Distinct	19
Distinct (%)	0.5%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	3.3603481

Minimum	1
Maximum	21
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	57.5 KiB

Quantile statistics

Minimum	1
5-th percentile	2
Q1	2
median	3
Q3	4
95-th percentile	6
Maximum	21
Range	20
Interquartile range (IQR)	2

Descriptive statistics

Standard deviation	1.8976489
Coefficient of variation (CV)	0.56471796
Kurtosis	18.20998
Mean	3.3603481
Median Absolute Deviation (MAD)	1
Skewness	3.4846135
Sum	12356
Variance	3.6010715
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=19)

Value	Count	Frequency (%)
3	1495	40.7%
2	942	25.6%
4	661	18.0%
5	210	5.7%
1	124	3.4%
6	74	2.0%
9	41	1.1%
8	30	0.8%
12	28	0.8%
7	28	0.8%
Other values (9)	44	1.2%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1	124	3.4%
2	942	25.6%
3	1495	40.7%
4	661	18.0%
5	210	5.7%
6	74	2.0%
7	28	0.8%
8	30	0.8%
9	41	1.1%
10	20	0.5%

Value	Count	Frequency (%)
21	1	< 0.1%
20	1	< 0.1%
19	2	0.1%
18	2	0.1%
16	12	0.3%
14	1	< 0.1%
13	4	0.1%
12	28	0.8%
11	1	< 0.1%
10	20	0.5%

bathroom
Real number (ℝ)

HIGH CORRELATION

Distinct	19
Distinct (%)	0.5%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	3.4245309

Minimum	1
Maximum	21
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	57.5 KiB

Quantile statistics

Minimum	1
5-th percentile	2
Q1	2
median	3
Q3	4
95-th percentile	6
Maximum	21
Range	20
Interquartile range (IQR)	2

Descriptive statistics

Standard deviation	1.9480681
Coefficient of variation (CV)	0.56885693
Kurtosis	17.542297
Mean	3.4245309
Median Absolute Deviation (MAD)	1
Skewness	3.2488298
Sum	12592
Variance	3.7949693
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=19)

Value	Count	Frequency (%)
3	1077	29.3%
2	1047	28.5%
4	820	22.3%
5	294	8.0%
1	156	4.2%
6	117	3.2%
9	41	1.1%
7	40	1.1%
8	25	0.7%
12	22	0.6%
Other values (9)	38	1.0%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1	156	4.2%
2	1047	28.5%
3	1077	29.3%
4	820	22.3%
5	294	8.0%
6	117	3.2%
7	40	1.1%
8	25	0.7%
9	41	1.1%
10	9	0.2%

Value	Count	Frequency (%)
21	1	< 0.1%
20	3	0.1%
18	4	0.1%
17	3	0.1%
16	8	0.2%
14	2	0.1%
13	4	0.1%
12	22	0.6%
11	4	0.1%
10	9	0.2%

balcony
Categorical

HIGH CORRELATION

Distinct	5
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	238.1 KiB

3+	1171
3	1073
2	884
1	367
0	182

Length

Max length	2
Median length	1
Mean length	1.3184661
Min length	1

Characters and Unicode

Total characters	4848
Distinct characters	5
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	1
2nd row	1
3rd row	3
4th row	2
5th row	3

Common Values

Value	Count	Frequency (%)
3+	1171	31.8%
3	1073	29.2%
2	884	24.0%
1	367	10.0%
0	182	4.9%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
3	2244	61.0%
2	884	24.0%
1	367	10.0%
0	182	4.9%

Most occurring characters

Value	Count	Frequency (%)
3	2244	46.3%
+	1171	24.2%
2	884	18.2%
1	367	7.6%
0	182	3.8%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	3677	75.8%
Math Symbol	1171	24.2%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
3	2244	61.0%
2	884	24.0%
1	367	10.0%
0	182	4.9%

Math Symbol

Value	Count	Frequency (%)
+	1171	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	4848	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
3	2244	46.3%
+	1171	24.2%
2	884	18.2%
1	367	7.6%
0	182	3.8%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	4848	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
3	2244	46.3%
+	1171	24.2%
2	884	18.2%
1	367	7.6%
0	182	3.8%

floorNum
Real number (ℝ)

ZEROS

Distinct	43
Distinct (%)	1.2%
Missing	19
Missing (%)	0.5%
Infinite	0
Infinite (%)	0.0%
Mean	6.7936031

Minimum	0
Maximum	51
Zeros	129
Zeros (%)	3.5%
Negative	0
Negative (%)	0.0%
Memory size	57.5 KiB

Quantile statistics

Minimum	0
5-th percentile	1
Q1	2
median	5
Q3	10
95-th percentile	18
Maximum	51
Range	51
Interquartile range (IQR)	8

Descriptive statistics

Standard deviation	6.0139108
Coefficient of variation (CV)	0.88523141
Kurtosis	4.5138569
Mean	6.7936031
Median Absolute Deviation (MAD)	3
Skewness	1.6940936
Sum	24851
Variance	36.167123
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=43)

Value	Count	Frequency (%)
3	498	13.5%
2	494	13.4%
1	353	9.6%
4	315	8.6%
8	195	5.3%
6	182	4.9%
10	179	4.9%
7	176	4.8%
5	169	4.6%
9	161	4.4%
Other values (33)	936	25.5%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	129	3.5%
1	353	9.6%
2	494	13.4%
3	498	13.5%
4	315	8.6%
5	169	4.6%
6	182	4.9%
7	176	4.8%
8	195	5.3%
9	161	4.4%

Value	Count	Frequency (%)
51	1	< 0.1%
45	1	< 0.1%
44	1	< 0.1%
43	2	0.1%
40	1	< 0.1%
39	2	0.1%
38	1	< 0.1%
35	2	0.1%
34	2	0.1%
33	4	0.1%

facing
Categorical

HIGH CORRELATION MISSING

Distinct	8
Distinct (%)	0.3%
Missing	1045
Missing (%)	28.4%
Memory size	233.6 KiB

North-East	623
East	623
North	387
West	249
South	231
Other values (3)	519

Length

Max length	10
Median length	5
Mean length	6.8381459
Min length	4

Characters and Unicode

Total characters	17998
Distinct characters	13
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	West
2nd row	West
3rd row	North-East
4th row	South-East
5th row	North-East

Common Values

Value	Count	Frequency (%)
North-East	623	16.9%
East	623	16.9%
North	387	10.5%
West	249	6.8%
South	231	6.3%
North-West	193	5.2%
South-East	173	4.7%
South-West	153	4.2%
(Missing)	1045	28.4%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
north-east	623	23.7%
east	623	23.7%
north	387	14.7%
west	249	9.5%
south	231	8.8%
north-west	193	7.3%
south-east	173	6.6%
south-west	153	5.8%

Most occurring characters

Value	Count	Frequency (%)
t	3774	21.0%
s	2014	11.2%
o	1760	9.8%
h	1760	9.8%
E	1419	7.9%
a	1419	7.9%
N	1203	6.7%
r	1203	6.7%
-	1142	6.3%
W	595	3.3%
Other values (3)	1709	9.5%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	13082	72.7%
Uppercase Letter	3774	21.0%
Dash Punctuation	1142	6.3%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
t	3774	28.8%
s	2014	15.4%
o	1760	13.5%
h	1760	13.5%
a	1419	10.8%
r	1203	9.2%
e	595	4.5%
u	557	4.3%

Uppercase Letter

Value	Count	Frequency (%)
E	1419	37.6%
N	1203	31.9%
W	595	15.8%
S	557	14.8%

Dash Punctuation

Value	Count	Frequency (%)
-	1142	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	16856	93.7%
Common	1142	6.3%

Most frequent character per script

Latin

Value	Count	Frequency (%)
t	3774	22.4%
s	2014	11.9%
o	1760	10.4%
h	1760	10.4%
E	1419	8.4%
a	1419	8.4%
N	1203	7.1%
r	1203	7.1%
W	595	3.5%
e	595	3.5%
Other values (2)	1114	6.6%

Common

Value	Count	Frequency (%)
-	1142	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	17998	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
t	3774	21.0%
s	2014	11.2%
o	1760	9.8%
h	1760	9.8%
E	1419	7.9%
a	1419	7.9%
N	1203	6.7%
r	1203	6.7%
-	1142	6.3%
W	595	3.3%
Other values (3)	1709	9.5%

agePossession
Categorical

Distinct	6
Distinct (%)	0.2%
Missing	0
Missing (%)	0.0%
Memory size	280.2 KiB

Relatively New	1647
New Property	594
Moderately Old	563
Undefined	445
Old Property	304

Length

Max length	18
Median length	14
Mean length	13.041338
Min length	9

Characters and Unicode

Total characters	47953
Distinct characters	25
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Relatively New
2nd row	Old Property
3rd row	New Property
4th row	Undefined
5th row	Under Construction

Common Values

Value	Count	Frequency (%)
Relatively New	1647	44.8%
New Property	594	16.2%
Moderately Old	563	15.3%
Undefined	445	12.1%
Old Property	304	8.3%
Under Construction	124	3.4%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
new	2241	32.4%
relatively	1647	23.8%
property	898	13.0%
old	867	12.5%
moderately	563	8.1%
undefined	445	6.4%
under	124	1.8%
construction	124	1.8%

Most occurring characters

Value	Count	Frequency (%)
e	8573	17.9%
l	4724	9.9%
t	3356	7.0%
	3232	6.7%
y	3108	6.5%
r	2607	5.4%
d	2444	5.1%
N	2241	4.7%
w	2241	4.7%
i	2216	4.6%
Other values (15)	13211	27.5%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	37812	78.9%
Uppercase Letter	6909	14.4%
Space Separator	3232	6.7%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	8573	22.7%
l	4724	12.5%
t	3356	8.9%
y	3108	8.2%
r	2607	6.9%
d	2444	6.5%
w	2241	5.9%
i	2216	5.9%
a	2210	5.8%
o	1709	4.5%
Other values (7)	4624	12.2%

Uppercase Letter

Value	Count	Frequency (%)
N	2241	32.4%
R	1647	23.8%
P	898	13.0%
O	867	12.5%
U	569	8.2%
M	563	8.1%
C	124	1.8%

Space Separator

Value	Count	Frequency (%)
	3232	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	44721	93.3%
Common	3232	6.7%

Most frequent character per script

Latin

Value	Count	Frequency (%)
e	8573	19.2%
l	4724	10.6%
t	3356	7.5%
y	3108	6.9%
r	2607	5.8%
d	2444	5.5%
N	2241	5.0%
w	2241	5.0%
i	2216	5.0%
a	2210	4.9%
Other values (14)	11001	24.6%

Common

Value	Count	Frequency (%)
	3232	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	47953	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
e	8573	17.9%
l	4724	9.9%
t	3356	7.0%
	3232	6.7%
y	3108	6.5%
r	2607	5.4%
d	2444	5.1%
N	2241	4.7%
w	2241	4.7%
i	2216	4.6%
Other values (15)	13211	27.5%

super_built_up_area
Real number (ℝ)

HIGH CORRELATION MISSING

Distinct	593
Distinct (%)	31.6%
Missing	1802
Missing (%)	49.0%
Infinite	0
Infinite (%)	0.0%
Mean	1925.6483

Minimum	89
Maximum	10000
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	57.5 KiB

Quantile statistics

Minimum	89
5-th percentile	767
Q1	1479.5
median	1828
Q3	2215
95-th percentile	3185
Maximum	10000
Range	9911
Interquartile range (IQR)	735.5

Descriptive statistics

Standard deviation	764.27409
Coefficient of variation (CV)	0.39689184
Kurtosis	10.338286
Mean	1925.6483
Median Absolute Deviation (MAD)	372
Skewness	1.8343442
Sum	3610590.5
Variance	584114.89
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
1650	37	1.0%
1950	37	1.0%
1578	25	0.7%
2000	25	0.7%
1640	22	0.6%
2150	22	0.6%
1900	19	0.5%
2408	19	0.5%
1930	18	0.5%
1350	17	0.5%
Other values (583)	1634	44.4%
(Missing)	1802	49.0%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
89	1	< 0.1%
145	1	< 0.1%
161	1	< 0.1%
215	1	< 0.1%
216	1	< 0.1%
325	1	< 0.1%
340	1	< 0.1%
352	1	< 0.1%
380	1	< 0.1%
406	1	< 0.1%

Value	Count	Frequency (%)
10000	1	< 0.1%
6926	1	< 0.1%
6000	1	< 0.1%
5800	2	0.1%
5514	1	< 0.1%
5350	2	0.1%
5200	2	0.1%
4890	1	< 0.1%
4857	1	< 0.1%
4848	2	0.1%

built_up_area
Real number (ℝ)

HIGH CORRELATION MISSING SKEWED

Distinct	644
Distinct (%)	38.1%
Missing	1985
Missing (%)	54.0%
Infinite	0
Infinite (%)	0.0%
Mean	2378.188

Minimum	2
Maximum	737147
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	57.5 KiB

Quantile statistics

Minimum	2
5-th percentile	240.55
Q1	1100
median	1650
Q3	2400
95-th percentile	4689
Maximum	737147
Range	737145
Interquartile range (IQR)	1300

Descriptive statistics

Standard deviation	17932.315
Coefficient of variation (CV)	7.5403272
Kurtosis	1669.8364
Mean	2378.188
Median Absolute Deviation (MAD)	650
Skewness	40.730509
Sum	4023894
Variance	3.2156793 × 10⁸
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
1800	41	1.1%
3240	37	1.0%
1900	34	0.9%
1350	33	0.9%
2700	33	0.9%
900	29	0.8%
1600	26	0.7%
2000	24	0.7%
1300	24	0.7%
1700	23	0.6%
Other values (634)	1388	37.7%
(Missing)	1985	54.0%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
2	1	< 0.1%
14	1	< 0.1%
30	1	< 0.1%
33	1	< 0.1%
50	3	0.1%
53	1	< 0.1%
55	1	< 0.1%
56	1	< 0.1%
57	1	< 0.1%
60	5	0.1%

Value	Count	Frequency (%)
737147	1	< 0.1%
13500	1	< 0.1%
11286	1	< 0.1%
9500	1	< 0.1%
9000	7	0.2%
8775	1	< 0.1%
8286	1	< 0.1%
8067.8	1	< 0.1%
8000	1	< 0.1%
7500	2	0.1%

carpet_area
Real number (ℝ)

HIGH CORRELATION MISSING SKEWED

Distinct	732
Distinct (%)	39.2%
Missing	1808
Missing (%)	49.2%
Infinite	0
Infinite (%)	0.0%
Mean	2530.1348

Minimum	15
Maximum	607936
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	57.5 KiB

Quantile statistics

Minimum	15
5-th percentile	350
Q1	845
median	1300
Q3	1790
95-th percentile	2938.8
Maximum	607936
Range	607921
Interquartile range (IQR)	945

Descriptive statistics

Standard deviation	22818.074
Coefficient of variation (CV)	9.0185212
Kurtosis	603.56926
Mean	2530.1348
Median Absolute Deviation (MAD)	470
Skewness	24.313842
Sum	4728821.9
Variance	5.206645 × 10⁸
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
1400	42	1.1%
1600	35	1.0%
1800	35	1.0%
1200	31	0.8%
1500	29	0.8%
1650	28	0.8%
1350	27	0.7%
1300	23	0.6%
1000	22	0.6%
1450	22	0.6%
Other values (722)	1575	42.8%
(Missing)	1808	49.2%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
15	1	< 0.1%
33	1	< 0.1%
48	1	< 0.1%
50	1	< 0.1%
59	1	< 0.1%
60	1	< 0.1%
66	1	< 0.1%
72	1	< 0.1%
76.44	3	0.1%
77.31	1	< 0.1%

Value	Count	Frequency (%)
607936	1	< 0.1%
569243	1	< 0.1%
514396	1	< 0.1%
64529	1	< 0.1%
64412	1	< 0.1%
58141	1	< 0.1%
54917	1	< 0.1%
48811	1	< 0.1%
45966	1	< 0.1%
34401	1	< 0.1%

study room
Categorical

Distinct	2
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	237.0 KiB

0	2973
1	704

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	3677
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	1
5th row	1

Common Values

Value	Count	Frequency (%)
0	2973	80.9%
1	704	19.1%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0	2973	80.9%
1	704	19.1%

Most occurring characters

Value	Count	Frequency (%)
0	2973	80.9%
1	704	19.1%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	3677	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	2973	80.9%
1	704	19.1%

Most occurring scripts

Value	Count	Frequency (%)
Common	3677	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	2973	80.9%
1	704	19.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	3677	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	2973	80.9%
1	704	19.1%

servant room
Categorical

HIGH CORRELATION

Distinct	2
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	237.0 KiB

0	2350
1	1327

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	3677
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	2350	63.9%
1	1327	36.1%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0	2350	63.9%
1	1327	36.1%

Most occurring characters

Value	Count	Frequency (%)
0	2350	63.9%
1	1327	36.1%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	3677	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	2350	63.9%
1	1327	36.1%

Most occurring scripts

Value	Count	Frequency (%)
Common	3677	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	2350	63.9%
1	1327	36.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	3677	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	2350	63.9%
1	1327	36.1%

store room
Categorical

IMBALANCE

Distinct	2
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	237.0 KiB

0	3339
1	338

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	3677
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	3339	90.8%
1	338	9.2%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0	3339	90.8%
1	338	9.2%

Most occurring characters

Value	Count	Frequency (%)
0	3339	90.8%
1	338	9.2%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	3677	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	3339	90.8%
1	338	9.2%

Most occurring scripts

Value	Count	Frequency (%)
Common	3677	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	3339	90.8%
1	338	9.2%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	3677	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	3339	90.8%
1	338	9.2%

pooja room
Categorical

Distinct	2
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	237.0 KiB

0	3021
1	656

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	3677
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	3021	82.2%
1	656	17.8%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0	3021	82.2%
1	656	17.8%

Most occurring characters

Value	Count	Frequency (%)
0	3021	82.2%
1	656	17.8%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	3677	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	3021	82.2%
1	656	17.8%

Most occurring scripts

Value	Count	Frequency (%)
Common	3677	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	3021	82.2%
1	656	17.8%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	3677	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	3021	82.2%
1	656	17.8%

others
Categorical

Distinct	2
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	237.0 KiB

0	3272
1	405

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	3677
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	3272	89.0%
1	405	11.0%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0	3272	89.0%
1	405	11.0%

Most occurring characters

Value	Count	Frequency (%)
0	3272	89.0%
1	405	11.0%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	3677	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	3272	89.0%
1	405	11.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	3677	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	3272	89.0%
1	405	11.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	3677	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	3272	89.0%
1	405	11.0%

furnishing_type
Categorical

Distinct	3
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	237.0 KiB

1	2436
2	1038
0	203

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	3677
Distinct characters	3
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	1
2nd row	2
3rd row	1
4th row	1
5th row	1

Common Values

Value	Count	Frequency (%)
1	2436	66.2%
2	1038	28.2%
0	203	5.5%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
1	2436	66.2%
2	1038	28.2%
0	203	5.5%

Most occurring characters

Value	Count	Frequency (%)
1	2436	66.2%
2	1038	28.2%
0	203	5.5%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	3677	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
1	2436	66.2%
2	1038	28.2%
0	203	5.5%

Most occurring scripts

Value	Count	Frequency (%)
Common	3677	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
1	2436	66.2%
2	1038	28.2%
0	203	5.5%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	3677	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
1	2436	66.2%
2	1038	28.2%
0	203	5.5%

luxury_score
Real number (ℝ)

ZEROS

Distinct	161
Distinct (%)	4.4%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	71.441392

Minimum	0
Maximum	174
Zeros	465
Zeros (%)	12.6%
Negative	0
Negative (%)	0.0%
Memory size	57.5 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	31
median	59
Q3	110
95-th percentile	174
Maximum	174
Range	174
Interquartile range (IQR)	79

Descriptive statistics

Standard deviation	53.092951
Coefficient of variation (CV)	0.74316792
Kurtosis	-0.88051772
Mean	71.441392
Median Absolute Deviation (MAD)	38
Skewness	0.46011224
Sum	262690
Variance	2818.8614
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	465	12.6%
49	348	9.5%
174	195	5.3%
44	60	1.6%
38	55	1.5%
165	55	1.5%
72	52	1.4%
60	47	1.3%
37	45	1.2%
42	45	1.2%
Other values (151)	2310	62.8%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	465	12.6%
5	6	0.2%
6	6	0.2%
7	41	1.1%
8	30	0.8%
9	9	0.2%
12	6	0.2%
13	10	0.3%
14	12	0.3%
15	43	1.2%

Value	Count	Frequency (%)
174	195	5.3%
169	1	< 0.1%
168	9	0.2%
167	21	0.6%
166	10	0.3%
165	55	1.5%
161	3	0.1%
160	28	0.8%
159	23	0.6%
158	34	0.9%

Auto

Heatmap
Table

	agePossession	area	balcony	bathroom	bedRoom	built_up_area	carpet_area	facing	floorNum	furnishing_type	luxury_score	others	pooja room	price	price_per_sqft	property_type	servant room	store room	study room	super_built_up_area
agePossession	1.000	-0.118	0.229	-0.145	-0.160	-0.110	-0.069	0.090	0.064	0.214	-0.076	0.107	0.184	-0.138	-0.110	0.354	0.282	0.141	0.112	-0.082
area	-0.118	1.000	0.010	0.687	0.624	0.835	0.801	0.022	0.117	0.043	0.259	0.042	0.037	0.744	0.207	0.028	0.015	0.039	0.018	0.948
balcony	0.229	0.010	1.000	0.516	0.434	0.357	0.469	0.017	0.181	0.179	0.329	0.082	0.197	0.466	0.188	0.214	0.442	0.146	0.183	0.508
bathroom	-0.145	0.687	0.516	1.000	0.862	0.465	0.598	0.044	-0.004	0.195	0.179	0.070	0.286	0.720	0.411	0.471	0.519	0.244	0.176	0.819
bedRoom	-0.160	0.624	0.434	0.862	1.000	0.380	0.568	0.032	-0.103	0.166	0.056	0.080	0.290	0.681	0.417	0.594	0.316	0.223	0.153	0.800
built_up_area	-0.110	0.835	0.357	0.465	0.380	1.000	0.969	1.000	0.093	0.090	0.290	0.000	0.000	0.605	0.133	0.000	0.000	0.000	0.000	0.926
carpet_area	-0.069	0.801	0.469	0.598	0.568	0.969	1.000	0.000	0.160	0.000	0.239	0.016	0.000	0.613	0.136	0.000	0.000	0.000	0.003	0.894
facing	0.090	0.022	0.017	0.044	0.032	1.000	0.000	1.000	0.003	0.054	0.070	0.000	0.029	-0.012	-0.028	0.095	0.036	0.036	0.000	0.019
floorNum	0.064	0.117	0.181	-0.004	-0.103	0.093	0.160	0.003	1.000	0.026	0.233	0.033	0.102	0.002	-0.125	0.485	0.085	0.111	0.077	0.150
furnishing_type	0.214	0.043	0.179	0.195	0.166	0.090	0.000	0.054	0.026	1.000	0.230	0.064	0.213	0.186	0.126	0.084	0.266	0.156	0.137	0.109
luxury_score	-0.076	0.259	0.329	0.179	0.056	0.290	0.239	0.070	0.233	0.230	1.000	0.176	0.190	0.215	0.055	0.329	0.348	0.229	0.183	0.220
others	0.107	0.042	0.082	0.070	0.080	0.000	0.016	0.000	0.033	0.064	0.176	1.000	0.033	-0.001	-0.019	0.025	0.000	0.106	0.031	-0.017
pooja room	0.184	0.037	0.197	0.286	0.290	0.000	0.000	0.029	0.102	0.213	0.190	0.033	1.000	0.269	0.199	0.251	0.252	0.305	0.314	0.110
price	-0.138	0.744	0.466	0.720	0.681	0.605	0.613	-0.012	0.002	0.186	0.215	-0.001	0.269	1.000	0.744	0.542	0.368	0.303	0.244	0.773
price_per_sqft	-0.110	0.207	0.188	0.411	0.417	0.133	0.136	-0.028	-0.125	0.126	0.055	-0.019	0.199	0.744	1.000	0.200	0.044	0.000	0.030	0.287
property_type	0.354	0.028	0.214	0.471	0.594	0.000	0.000	0.095	0.485	0.084	0.329	0.025	0.251	0.542	0.200	1.000	0.064	0.240	0.127	NaN
servant room	0.282	0.015	0.442	0.519	0.316	0.000	0.000	0.036	0.085	0.266	0.348	0.000	0.252	0.368	0.044	0.064	1.000	0.161	0.184	0.656
store room	0.141	0.039	0.146	0.244	0.223	0.000	0.000	0.036	0.111	0.156	0.229	0.106	0.305	0.303	0.000	0.240	0.161	1.000	0.226	0.033
study room	0.112	0.018	0.183	0.176	0.153	0.000	0.003	0.000	0.077	0.137	0.183	0.031	0.314	0.244	0.030	0.127	0.184	0.226	1.000	-0.015
super_built_up_area	-0.082	0.948	0.508	0.819	0.800	0.926	0.894	0.019	0.150	0.109	0.220	-0.017	0.110	0.773	0.287	NaN	0.656	0.033	-0.015	1.000

A simple visualization of nullity by column.

Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

First rows
Last rows

	property_type	society	sector	price	price_per_sqft	area	areaWithType	bedRoom	bathroom	balcony	floorNum	facing	agePossession	super_built_up_area	built_up_area	carpet_area	study room	servant room	furnishing_type	luxury_score
0	flat	maa bhagwati residency	sector 7	0.45	5000.0	900.0	Carpet area: 900 (83.61 sq.m.)	2	2	1	4.0	West	Relatively New	NaN	NaN	900.0	0	0	1	28
1	flat	apna enclave	sector 3	0.50	7692.0	650.0	Carpet area: 650 (60.39 sq.m.)	2	2	1	1.0	West	Old Property	NaN	NaN	650.0	0	0	2	37
2	flat	tulsiani easy in homes	sector 47	0.40	6722.0	595.0	Carpet area: 595 (55.28 sq.m.)	2	2	3	12.0	NaN	New Property	NaN	NaN	595.0	0	0	1	36
3	flat	smart world orchard	sector 61	1.47	12250.0	1200.0	Carpet area: 1200 (111.48 sq.m.)	2	2	2	2.0	NaN	Undefined	NaN	NaN	1200.0	1	0	1	76
4	flat	parkwood westend	sector 92	0.70	5204.0	1345.0	Super Built up area 1345(124.95 sq.m.)	2	2	3	5.0	NaN	Under Construction	1345.0	NaN	NaN	1	0	1	0
5	flat	signature global infinity mall	sector 36	0.41	6269.0	654.0	Built Up area: 654 (60.76 sq.m.)	2	2	3	3.0	NaN	Undefined	NaN	654.0	NaN	0	0	1	0
6	flat	the cocoon	sector 108	2.00	13333.0	1500.0	Super Built up area 1500(139.35 sq.m.)	3	3	3	5.0	NaN	New Property	1500.0	NaN	NaN	0	0	1	0
7	flat	ats triumph	sector 104	1.80	7860.0	2290.0	Carpet area: 2290 (212.75 sq.m.)	3	4	3	14.0	NaN	New Property	NaN	NaN	2290.0	0	0	1	60
8	flat	vatika xpressions	sector 88b	1.10	8148.0	1350.0	Built Up area: 1350 (125.42 sq.m.)Carpet area: 1050 sq.ft. (97.55 sq.m.)	2	4	3+	2.0	North-East	Under Construction	NaN	1350.0	1050.0	1	0	1	58
9	flat	raheja revanta	sector 78	4.75	16885.0	2813.0	Built Up area: 2813 (261.34 sq.m.)	3	3	2	31.0	NaN	Undefined	NaN	2813.0	NaN	0	1	1	100

	property_type	society	sector	price	price_per_sqft	area	areaWithType	bedRoom	bathroom	balcony	floorNum	facing	agePossession	super_built_up_area	built_up_area	carpet_area	study room	servant room	store room	pooja room	furnishing_type	luxury_score
3794	house	independent	sector 31	3.50	24155.0	1449.0	Plot area 161(134.62 sq.m.)	4	3	3	2.0	South-West	Moderately Old	NaN	1449.0	NaN	0	0	1	0	2	81
3795	house	independent	sector 46	5.65	23870.0	2367.0	Plot area 263(219.9 sq.m.)	8	6	3+	3.0	South-West	Moderately Old	NaN	2367.0	NaN	0	1	0	0	2	67
3796	house	independent	sector 46	3.55	24500.0	1449.0	Plot area 161(134.62 sq.m.)	5	4	3+	3.0	North-West	Moderately Old	NaN	1449.0	NaN	0	1	0	0	2	73
3797	house	independent	sector 46	3.60	24845.0	1449.0	Plot area 161(134.62 sq.m.)	5	5	3+	3.0	South-East	Moderately Old	NaN	1449.0	NaN	0	1	0	0	2	75
3798	house	independent	sector 55	3.10	20026.0	1548.0	Plot area 172(143.81 sq.m.)	5	4	3+	2.0	North-East	Moderately Old	NaN	1548.0	NaN	0	1	1	0	2	59
3799	house	independent	sector 57	4.75	28787.0	1650.0	Plot area 1600(148.64 sq.m.)Built Up area: 1700 sq.ft. (157.94 sq.m.)Carpet area: 1650 sq.ft. (153.29 sq.m.)	3	3	3	2.0	North-West	Moderately Old	NaN	1700.0	1650.0	0	0	1	0	2	96
3800	house	dlf city phase 1	sector 26	5.50	30556.0	1800.0	Plot area 200(167.23 sq.m.)	4	4	3	2.0	North-East	Moderately Old	NaN	1800.0	NaN	1	1	0	1	1	69
3801	house	dlf city plots phase 2	sector 25	4.25	31481.0	1350.0	Plot area 150(125.42 sq.m.)	3	2	3	2.0	North	Old Property	NaN	1350.0	NaN	1	0	0	0	1	35
3802	house	dlf city phase 1	sector 26	4.50	33333.0	1350.0	Plot area 150(125.42 sq.m.)	3	3	2	2.0	East	Moderately Old	NaN	1350.0	NaN	1	1	0	0	1	70
3803	house	dlf city phase 1	sector 26	3.25	33129.0	981.0	Plot area 109(91.14 sq.m.)	3	3	3	2.0	West	Old Property	NaN	981.0	NaN	1	0	0	0	1	79

Overview

Variables

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

Lowercase Letter

Most occurring scripts

Most frequent character per script

Latin

Most occurring blocks

Most frequent character per block

ASCII

Most occurring characters

Most occurring categories

Most frequent character per category

Lowercase Letter

Decimal Number

Other Punctuation

Space Separator

Dash Punctuation

Most occurring scripts

Most frequent character per script

Latin

Common

Most occurring blocks

Most frequent character per block

ASCII

Most occurring characters

Most occurring categories

Most frequent character per category

Lowercase Letter

Decimal Number

Space Separator

Most occurring scripts

Most frequent character per script

Latin

Common

Most occurring blocks

Most frequent character per block

ASCII

Most occurring characters

Most occurring categories

Most frequent character per category

Lowercase Letter

Decimal Number

Uppercase Letter

Other Punctuation

Space Separator

Close Punctuation

Open Punctuation

Most occurring scripts

Most frequent character per script

Latin

Common

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

Decimal Number

Math Symbol

Most occurring scripts

Most frequent character per script

Common

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category